Design and directed evolution of an 'Edmanase' enzyme for high-throughput peptide sequencing.

用于高通量肽测序的“Edmanase”酶的设计和定向进化。

• 批准号: 10259868
• 负责人: Lei Shi
• 金额: $ 71.47万
• 依托单位: ENCODIA, INC.
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-13 至 2022-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10259868
• 关键词: Amino Acids; Applied Research; Area; Bar Codes; Basic Science; Biological Assay; Biological Sciences; Chemicals; Cleaved cell; Clinical Research; Coupling; DNA; DNA Library; DNA sequencing; Directed Molecular Evolution; Drug Targeting; Engineering; Enzymes; Goals; Immobilization; Label; Libraries; Medical Research; Modification; Molecular; N-terminal; Peptide Sequence Determination; Peptides; Periodicity; Phase; Process; Protein Analysis; Proteins; Proteome; Reagent; Surveys; Technology; Variant; base; biological research; cost; cost effective; design; digital; drug development; genetic selection; high throughput analysis; improved; instrument; novel; prototype; scaffold; screening; single molecule; usability; user-friendly

ABSTRACT More accessible and cost-effective technologies for analysis of the proteome would accelerate biological and medical research. The goal of this proposal is to develop enzymatic reagents to enable creation of a highly-scalable digital protein analysis technology. The approach is broadly applicable and greatly improves upon cost, sensitivity, usability, and throughput of current approaches.

抽象的 用于分析蛋白质组的更易于访问且具有成本效益的技术将 加速生物学和医学研究。该提议的目的是发展 酶促试剂能够创建高度易于估计的数字蛋白分析 技术。该方法广泛适用，并且成本大大提高， 当前方法的敏感性，可用性和吞吐量。